Mohamed Bouguessa
Subjects of interests
- Apprentissage automatique
- Réseaux de neurones de graphes
- Apprentissage de représentation
- Fouille de données
"Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding"IEEE Transactions on Knowledge and Data Engineering3641624-16372024
"Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding"2312.168342023
"A Contrastive Variational Graph Auto-Encoder for Node Clustering"2312.168302023
"Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023ijcai.org4855-48632023
"Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract)"39th IEEE International Conference on Data Engineering, ICDE 2023IEEE3891-38922023
"Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract)"39th IEEE International Conference on Data Engineering, ICDE 2023IEEE3887-38882023
"Modeling Time-Varying User Attitudes in Social Media"47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023IEEE976-9772023
"Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective"Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, {EAAI} 2023AAAI Press9235-92422023
"Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering"IEEE Transactions on Knowledge and Data Engineering3599037-90532023
"Modeling Regime Shifts in Multiple Time Series"ACM Transactions on Knowledge Discovery from Data1781-312023
"Graph Attention Network for Camera Relocalization on Dynamic Scenes"2206.150562022
"Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data"International Joint Conference on Neural Networks, IJCNN 2022IEEE1-102022
"Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022ijcai.org3351-33572022
"Graph Attention Network for Camera Relocalization on Dynamic Scenes"9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022IEEE1-102022
"A Longitudinal Study of Customer Electricity Load Profiles"46th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2022IEEE289-2942022
"A Time-Dependent-Based Approach to Enhance Self-Harm Prediction"IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022IEEE492-4952022
"Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift"IEEE Transactions on Knowledge and Data Engineering3441603-16172022
Mohamed BouguessaKhaled Nouri
"BiNeTClus: Bipartite Network Community Detection Based on Transactional Clustering"ACM Transactions on Intelligent Systems and Technology1211-2622021https://doi.org/10.1145/3423067
"A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks"1903.077842019
"TopoDetect: Framework for Topological Features Detection in Graph Embeddings"2110.041732021
"Modeling Regime Shifts in Multiple Time Series"2109.096922021
"Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering"2107.085622021
"Exploring the Representational Power of Graph Autoencoder"2106.120052021
"Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting"ACM Transactions on Intelligent Systems and Technology1241-262021
"TopoDetect: Framework for topological features detection in graph embeddings"Software Impacts121001392021
"Exploring the representational power of graph autoencoder"Neurocomputing225-2412021
Mohamed BouguessaFares Ben Slimane
"Context Matters: Self-Attention for Sign Language Recognition"1-82021https://arxiv.org/abs/2101.04632v1
"Context Matters: Self-Attention for Sign Language Recognition"25th International Conference on Pattern Recognition, ICPR 2020IEEE7884-78912020
"Sniffing Android code smells: an association rules mining-based approach"MOBILESoft@ICSE123-1272019
"A Network-Based Approach to Enhance Electricity Load Forecasting"ICDM Workshops266-2752018
"A Statistical Framework for Handling Network Anomalies"ASONAM709-7142018
"Sniffing Android code smells: an association rules mining-based approach"MOBILESoft@ICSE123-1272019
"Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks"1166-11802019
"Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift"1909.118322019
| Students | Status | Subjects |
|---|---|---|
| Boutemine, Oualid | Master | Détection des communautés dans les réseaux multidimensionnels |
| Chartrand, Louis | Doctorate | |
| Ennaciri, Mohamed | Master | |
| Fathaliani, Farnoosh | Master | Approche statistique pour la détection des spammeurs dans les médias sociaux |
| Maes, Bastien | Internship | |
| Vignaud, Quentin | Master | |
| Tajeuna, Etienne | Master |
| Students | Status | Subjects |
|---|---|---|
| Au, Émilie | Maîtrise (Depuis 2010) | Modélisation de documents à l’aide d’informations syntaxiques et sémantiques. |
| Jean-Eudes, Blin | Stagiaire (Depuis 2013) | Détection d’utilisateurs experts dans les forums en ligne de questions-réponses. |
| Steunou, Morgan | Stagiaire (Depuis 2010) | Détection d’utilisateurs influent dans Twitter. |
| Moraes, Felipe | Stagiaire | Mining Mutidimensional Networks from Social Media. |
